将案例转换为R中的变量
我有一个格式为data_format1的数据。基于此,我想将案例转换为变量,以获得数据格式2 您可以在此处找到数据格式1:将案例转换为R中的变量,r,variables,case,R,Variables,Case,我有一个格式为data_format1的数据。基于此,我想将案例转换为变量,以获得数据格式2 您可以在此处找到数据格式1: ArticleID<-c(1, 2, 3, 3, 4) Word<-c("a", "b", "b", "c", "c") Freq<-c(2, 4, 6, 3, 2) data_format1<-cbind(ArticleID, Word, Freq) data_format1 ArticleID Word Freq [1,] "1"
ArticleID<-c(1, 2, 3, 3, 4)
Word<-c("a", "b", "b", "c", "c")
Freq<-c(2, 4, 6, 3, 2)
data_format1<-cbind(ArticleID, Word, Freq)
data_format1
ArticleID Word Freq
[1,] "1" "a" "2"
[2,] "2" "b" "4"
[3,] "3" "b" "6"
[4,] "3" "c" "3"
[5,] "4" "c" "2"
ArticleID这是一个典型的重塑问题-将数据从高格式转换为宽格式。reformae2
软件包非常适合这种情况
注意:您需要先将数据转换为data.frame
。请记住,cbind
将获取数据并创建数组,而不是data.frame
。因此,在解决方案中,我使用data.frame(…)
重新创建数据
library(reshape2)
data_format1 <- data.frame(ArticleID, Word, Freq)
reshape2::dcast(data_format1, ArticleID~Word, sum)
ArticleID a b c
1 1 2 0 0
2 2 0 4 0
3 3 0 6 3
4 4 0 0 2
library(重塑2)
数据格式感谢安德烈。马上,我测试你的答案,效果很好。
library(reshape2)
data_format1 <- data.frame(ArticleID, Word, Freq)
reshape2::dcast(data_format1, ArticleID~Word, sum)
ArticleID a b c
1 1 2 0 0
2 2 0 4 0
3 3 0 6 3
4 4 0 0 2